Intelligent Document Processing: Advanced OCR, vector extraction, and structural parsing mechanisms were implemented to automatically extract textual, graphical, and metadata information from PDF and DWG engineering drawings.
AI Object Detection and Spatial Analysis: Custom multi-modal AI models were trained to identify traffic safety objects and engineering components, incorporating spatial intelligence to evaluate positional relationships, proximity rules, and engineering constraints.
Centralized Compliance Knowledge Base: A structured Compliance Knowledge Base was established to manage traffic safety standards, validation thresholds, and domain-specific engineering logic with version-controlled rule management and update support.
Automated Compliance Scoring and Reporting: The platform was configured to generate compliance analysis outputs, including critical issue counts, warnings, overall compliance scores, and prioritized recommendations downloadable in PDF and Excel formats.
Human-in-the-Loop Validation: A Save and Learn workflow was integrated, allowing authorized users to submit corrections to the AI and triggering model retraining, with a real-time progress indicator to support continuous improvement in accuracy.
Role-Based Access and Enterprise Governance: Admin and Standard User roles were defined with distinct permission sets, supported by role-based access control, audit logging, compliance traceability, and version-controlled rule administration.


